Fault diagnosis of floating offshore wind farms, a benchmark case study

Yerai Peña-Sanchez; Markel Penalba; Vincenzo Nava; Vicenç Puig

doi:10.1016/j.ifacol.2023.10.1506

Fault diagnosis of floating offshore wind farms, a benchmark case study

Yerai Peña-Sanchez^*
, Markel Penalba
, Vincenzo Nava
, Vicenç Puig

^*Corresponding author for this work

Basque Center for Applied Mathematics
Polytechnic University of Catalonia

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Operation and maintenance costs of floating offshore wind farms (FOWFs) can be reduced by considering appropriate fault detection and isolation (FDI) and fault-tolerant control methods. This paper introduces a FOWF benchmark with the capacity to recreate common fault scenarios on the subsystems composing the turbines. Additionally, the paper proposes a FDI strategy as an example case, based on nonlinear parity equations, obtained from structural analysis and non-faulty data, with an adaptive threshold generation mechanism. The proposed FDI approach is assessed using the benchmark case study, showing that most of the faults can be effectively detected, while showing to be insensitive to the electric generator faults.

Original language	English
Title of host publication	IFAC-PapersOnLine
Editors	Hideaki Ishii, Yoshio Ebihara, Jun-ichi Imura, Masaki Yamakita
Publisher	Elsevier B.V.
Pages	3510-3515
Number of pages	6
Edition	2
ISBN (Electronic)	9781713872344
DOIs	https://doi.org/10.1016/j.ifacol.2023.10.1506
Publication status	Published - 1 Jul 2023
Externally published	Yes
Event	22nd IFAC World Congress - Yokohama, Japan Duration: 9 Jul 2023 → 14 Jul 2023

Publication series

Name	IFAC-PapersOnLine
Number	2
Volume	56
ISSN (Electronic)	2405-8963

Conference

Conference	22nd IFAC World Congress
Country/Territory	Japan
City	Yokohama
Period	9/07/23 → 14/07/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Offshore wind
fault detection
fault-tolerant control
modelling

Access to Document

10.1016/j.ifacol.2023.10.1506

Cite this

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title = "Fault diagnosis of floating offshore wind farms, a benchmark case study",

abstract = "Operation and maintenance costs of floating offshore wind farms (FOWFs) can be reduced by considering appropriate fault detection and isolation (FDI) and fault-tolerant control methods. This paper introduces a FOWF benchmark with the capacity to recreate common fault scenarios on the subsystems composing the turbines. Additionally, the paper proposes a FDI strategy as an example case, based on nonlinear parity equations, obtained from structural analysis and non-faulty data, with an adaptive threshold generation mechanism. The proposed FDI approach is assessed using the benchmark case study, showing that most of the faults can be effectively detected, while showing to be insensitive to the electric generator faults.",

keywords = "Offshore wind, fault detection, fault-tolerant control, modelling",

author = "Yerai Pe{\~n}a-Sanchez and Markel Penalba and Vincenzo Nava and Vicen{\c c} Puig",

note = "Publisher Copyright: Copyright {\textcopyright} 2023 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/); 22nd IFAC World Congress ; Conference date: 09-07-2023 Through 14-07-2023",

year = "2023",

month = jul,

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doi = "10.1016/j.ifacol.2023.10.1506",

language = "English",

series = "IFAC-PapersOnLine",

publisher = "Elsevier B.V.",

number = "2",

pages = "3510--3515",

editor = "Hideaki Ishii and Yoshio Ebihara and Jun-ichi Imura and Masaki Yamakita",

booktitle = "IFAC-PapersOnLine",

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}

Fault diagnosis of floating offshore wind farms, a benchmark case study. / Peña-Sanchez, Yerai; Penalba, Markel; Nava, Vincenzo et al.
IFAC-PapersOnLine. ed. / Hideaki Ishii; Yoshio Ebihara; Jun-ichi Imura; Masaki Yamakita. 2. ed. Elsevier B.V., 2023. p. 3510-3515 (IFAC-PapersOnLine; Vol. 56, No. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Fault diagnosis of floating offshore wind farms, a benchmark case study

AU - Peña-Sanchez, Yerai

AU - Penalba, Markel

AU - Nava, Vincenzo

AU - Puig, Vicenç

PY - 2023/7/1

Y1 - 2023/7/1

N2 - Operation and maintenance costs of floating offshore wind farms (FOWFs) can be reduced by considering appropriate fault detection and isolation (FDI) and fault-tolerant control methods. This paper introduces a FOWF benchmark with the capacity to recreate common fault scenarios on the subsystems composing the turbines. Additionally, the paper proposes a FDI strategy as an example case, based on nonlinear parity equations, obtained from structural analysis and non-faulty data, with an adaptive threshold generation mechanism. The proposed FDI approach is assessed using the benchmark case study, showing that most of the faults can be effectively detected, while showing to be insensitive to the electric generator faults.

AB - Operation and maintenance costs of floating offshore wind farms (FOWFs) can be reduced by considering appropriate fault detection and isolation (FDI) and fault-tolerant control methods. This paper introduces a FOWF benchmark with the capacity to recreate common fault scenarios on the subsystems composing the turbines. Additionally, the paper proposes a FDI strategy as an example case, based on nonlinear parity equations, obtained from structural analysis and non-faulty data, with an adaptive threshold generation mechanism. The proposed FDI approach is assessed using the benchmark case study, showing that most of the faults can be effectively detected, while showing to be insensitive to the electric generator faults.

KW - Offshore wind

KW - fault detection

KW - fault-tolerant control

KW - modelling

UR - https://www.scopus.com/pages/publications/85184960761

U2 - 10.1016/j.ifacol.2023.10.1506

DO - 10.1016/j.ifacol.2023.10.1506

M3 - Conference contribution

AN - SCOPUS:85184960761

T3 - IFAC-PapersOnLine

SP - 3510

EP - 3515

BT - IFAC-PapersOnLine

A2 - Ishii, Hideaki

A2 - Ebihara, Yoshio

A2 - Imura, Jun-ichi

A2 - Yamakita, Masaki

PB - Elsevier B.V.

T2 - 22nd IFAC World Congress

Y2 - 9 July 2023 through 14 July 2023

ER -

Fault diagnosis of floating offshore wind farms, a benchmark case study

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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